Title :
An alternative method for cell counting
Author :
Akın Özkan;S. Belgin İşgör;Hakan Tora;Pembegül Uyar;Mesude İşcan
Author_Institution :
Elektrik ve Elektronik, Mü
fDate :
4/1/2011 12:00:00 AM
Abstract :
Cell counts and classification of the cells play an important role in the field of microbiology and cell biology. Although there exists many counting processes for cells of interest in suspension, the most basic cell counting process is performed by a person via the microscope. For counting cells the simplest, widely used and the most economic method is the use of hemocytometer counting. In this study, the hemocytometer counting was used but the the cells were counted by a proposed image based approach. The developed technique herein uses neural network along with the Hough transform.
Keywords :
"Signal processing","Conferences","Artificial neural networks","Biomedical imaging","Economics","Digital images","Companies"
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Print_ISBN :
978-1-4577-0462-8
DOI :
10.1109/SIU.2011.5929834